Video-to-Video
Diffusers
lora
template:diffusion-lora
ltx-2.3
colorize
black&white
color
video2video
vid2vid
IC-LoRA
Instructions to use DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Lightricks/LTX-2.3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DoctorDiffusion/LTX-2.3-IC-LoRA-Colorizer") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
My Example Workflow
#3
by dtaddis - opened
A few people on here were asking about an example workflow for this LoRA - here's one.
I based it on the sample LTX IC-LoRA setup, as the readme suggested. The colour reference image is optional, but recommended. You'll probably want to customise the positive text prompt as well.
If you need to save some VRAM, you could replace the local text encode with Gemma API instead.
Enjoy! And thanks to @DoctorDiffusion for this great LoRA.
Workflow is embedded in the metadata of this image, drop it into ComfyUI to open:
(Edit: uploaded a v2 which makes it clear that the "use reference image" toggle is a bypass not a use flag.)
